Bells Cyber Threat Intelligence (CTI) team is collaborating with academic institutions in order to further research and develop cyber security analytics for the protection of critical infrastructure and data. The focus of this research is to create and leverage a traffic classification project specifically for network security purposes. This research to design distributed algorithms fast enough for analyzing massive high-dimensional
data generated by network traffic to detect cyber threats/ attacks and anomaly in the network.
Detecting subtle chemical and physical changes occurring at the early stages of chronic disease and many other infectious diseases caused by harmful bacteria is still a challenge, as ultra-sensitive sensors with large signal-to-noise-ratio are required to detect them. We recently explored new ways to enhance the sensitivity of magnetic nano-sensors and theoretically demonstrated that under optimum design conditions, the sensitivity can be improved by up to a thousand - higher than any of the biosensors currently available on the market.
A parallelized electromagnetic transient (EMT) simulation tool for power system transients will be developed in this research to accelerate the internal computation process. An EMT simulator uses a highly detailed representation for the Electromagnetic transient (EMT) simulation is a widely used and most accurate tool for power systems network simulations. EMT simulation is very important for various design, testing and analysis of power systems networks involved in generation, transmission and distribution of electrical energy.
The candidate will utilize his knowledge and experience in transmission line modelling to implement test cases required by BC Hydro to validate the results of measured induced voltages between the transmission lines and gas pipelines. The simulations will be performed using well-known computer packages available at power laboratories of the University of British Columbia as well as computer programs written by the candidate to implement the recently developed line model in his PhD work. Simulation results will be compared with the measurements.
Chronic obstructive pulmonary disease (COPD) is an inflammatory disorder of the lung, and one that affects 2.6 million Canadians and 380 million people worldwide. The current therapies are very imprecise and none modifies disease progression or mortality. There is a pressing need to discover novel targets to enable precision health, promote new therapeutic discoveries, and ultimately improve the care and health outcomes of patients with COPD. However, this process is hindered by the use of outdated cell culture systems and animal models.
The Acuva Technologies Inc. has designed and developed UV LED-based water purification machines. These machines are in their optimization stage for cost, complexity, and manufacturing time reduction. Adding some features such as graphical user interface, wireless connectivity and being self-powered increase the public popularity of these machines. Graphical LCD provides much more user-friendly interface by which the user has more control over the machine operation. Using PV solar cells to power the device when it is not easily accessible provides versatility to the machine.
3v Geomatics (3vG) processes tens of thousands of radar satellite images annually to measure ground stability over time. The image processing pipeline demands very high storage and computation resources. The goal of this project is to enhance this pipeline so it can deliver better results faster. First, the project will profile and identify efficiency bottlenecks of the pipeline. This will be followed by design and development of novel approaches to enhance pipeline efficiency.
Climate change continues to shrink the sea ice in the Arctic. Consequently, there is an ever-increasing trend of industrial and shipping activities in the Canadian Arctic. This results into a high risk of accidental or deliberate release of oil-related pollutants in the Arctic waters. Satellite remote sensing is a key component in spill detection as an essential step towards any remediation and cleanup effort. Thus, this project proposes to develop a detection algorithm based on microwave satellite data that can be incorporated into a high-level oil spill alarm system.
Traditional oil sands production techniques include mining and transporting the sands and in situ production using steam injection, Steam Assisted Gravity Drainage (SAGD). This proposed method will replace or enhance SAGD by using primarily traditional vertical well bores and an induction heating method which will potentially allow the heating effect to expand in diameter as production continues compared to steam injection which relies on steam permeating out from a concentrated injector.
The agriculture industry is a labour intensive industry. Using a reliable method of plant monitoring can greatly help farmers to reduce their labours and consequently their production costs. Creating an accurate 3-D model of each plant or vegetable provides farmers with more information about the growth stage of the plant which helps them to make smarter decisions for irrigation and harvesting. There are various 3-D technologies available in the market.